AbdnCHDS / PU5050_21-22

Used for the Open and Reproducible Health Data Science course
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Neha Raj #1

Open NehaRaj8 opened 3 years ago

NehaRaj8 commented 3 years ago

Hello everyone! Please use this checklist over the next few weeks as you go through your open and reproducible science journey :tada:. Tick each item as your complete it!


Week 3: Your first repository

Week 4: Version control via RStudio

Week 7: R and GitHub Practice

Week 9: Joining datasets

Week 10: R revision

NehaRaj8 commented 2 years ago

Create a public repository in your account and add a readme file Add your group members as collaborators Add an issue to your new repository, describing a problem you want to work on Create a new branch Create a draft pull request Make changes to your branch and commit them Change the draft pull request to "ready for review" Ask your group members to review your changes When you get approval from the reviewers, merge the pull request and delete the branch Comment on this issue with a link to your repository, and any comments or questions you have about GitHub Week 4: Version control via RStudio

Install Git on your local computer and connect it to RStudio Clone the repository you created last week to an RStudio project on your local computer Add an issue to your new repository, describing a problem you want to work on (you need to do this on GitHub, you can't do this in RStudio) Create a new branch in Rstudio or GitHub Make a few changes in RStudio, stage and commit them (e.g. edit the Readme file, or add a new Rmarkdown file) Push the changes to the remote GitHub repository Create a draft pull request (you need to do this on GitHub, you can't do this in RStudio) Go back to RStudio, make a few more changes, stage, commit them and push them to the remote GitHub repository Change the draft pull request to "ready for review" Ask your group members to review your changes When you get approval from the reviewers, merge the pull request and delete the branch Optional: comment on this issue with any comments or questions you have about Git or GitHub Week 7: R and GitHub Practice

Create a new public repository called "hospital-admissions" on Github with a readme file Add your group members as collaborators Clone the repository to an RStudio project on your local computer Create an appropriate folder structure according to the good coding practices we discussed in the "Open Code" unit Download and save population_demographics.csv and the data dictionary in the appropriate folder Add an appropriate issue on GitHub, a related branch and pull request, and create an R markdown file in the appropriate folder to read in and explore the demographics data Get your code reviewed by your group members Merge! Comment on this issue with a link to your repository, and any comments or questions you have about Git or GitHub Week 9: Joining datasets

Add an appropriate issue to your "hospital-admissions" repository, a related branch and pull request, and add code to join the demographics and hospital admissions datasets Get your code reviewed by your group members Merge! Optional: comment on this issue with any comments or questions you have about Git or GitHub Week 10: R revision

Add an appropriate issue to your "hospital-admissions" repository, a related branch and pull request, and add code to summarise total time in hospital in 2020 by age and deprivation Get your code reviewed by your group members Merge! Optional: comment on this issue with any comments or questions you have about Git or GitHub